Antonio Monjaras

I’m a detail-oriented AI Training & Evaluation Specialist with experience evaluating and annotating large language model (LLM) outputs to improve factual accuracy, safety, and overall conversational quality. I’m comfortable analyzing prompt-response pairs for logical consistency, grammatical correctness, and adherence to complex project guidelines.

As a contractor, I’ve consistently maintained high quality scores across multiple training campaigns while managing an independent, self-directed schedule in fast-paced remote environments. I also perform specialized Reinforcement Learning from Human Feedback (RLHF) tasks, writing comprehensive justifications that guide model behavior.

Before that, I worked as a Data Annotator supporting machine learning and computer vision initiatives through high-precision data labeling and verification. I’ve also built small automation projects—like a Python web scraping script and a JavaScript (Node.js) Discord bot configuration—to turn messy inputs into clean, structured outputs for analysis and better user experiences.